WSDM 2017 Workshop on Mining Online Health Reports: MOHRS 2017

Nigel Collier, Nut Limsopatham, A. Culotta, Mike Conway, I. Cox, Vasileios Lampos
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Abstract

The workshop on Mining Online Health Reports (MOHRS) draws upon the rapidly developing field of Computational Health, focusing on textual content that has been generated through the various facets of Web activity. Online user-generated information mining, especially from social media platforms and search engines, has been in the forefront of many research efforts, especially in the fields of Information Retrieval and Natural Language Processing. The incorporation of such data and techniques in a number of health-oriented applications has provided strong evidence about the potential benefits, which include better population coverage, timeliness and the operational ability in places with less established health infrastructure. The workshop aims to create a platform where relevant state-of-the-art research is presented, but at the same time discussions among researchers with cross-disciplinary backgrounds can take place. It will focus on the characterisation of data sources, the essential methods for mining this textual information, as well as potential real-world applications and the arising ethical issues. MOHRS '17 will feature 3 keynote talks and 4 accepted paper presentations, together with a panel discussion session.
WSDM 2017挖掘在线健康报告研讨会:MOHRS 2017
关于挖掘在线健康报告(MOHRS)的讲习班利用了快速发展的计算健康领域,重点关注通过Web活动的各个方面生成的文本内容。在线用户生成的信息挖掘,特别是来自社交媒体平台和搜索引擎的信息挖掘,已经成为许多研究工作的前沿,特别是在信息检索和自然语言处理领域。将这类数据和技术纳入若干面向保健的应用,有力地证明了潜在的好处,包括在保健基础设施不太完善的地方提高人口覆盖率、及时性和业务能力。研讨会旨在创造一个展示相关最新研究成果的平台,但同时也可以在具有跨学科背景的研究人员之间进行讨论。它将侧重于数据源的特征,挖掘文本信息的基本方法,以及潜在的现实世界的应用和出现的伦理问题。MOHRS '17将有3个主题演讲和4个论文报告,以及小组讨论环节。
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